Sanal Darshid Ramkumar

Automotive Display Technology and Optics

Research and Development of Algorithms for Machine Vision System using Computer Vision, Machine Learning and Deep Learning

Evaluation of Transfer Learning approaches for Bicycle Detection combining Real and Synthetic data *Developed Real and Synthetic world dataset portraying indoor scenes in public transportation *Benchmarked object detection metrics (IOU, Precision-Recall, F1 score & mAP) on Faster RCNN, SSD, YOLO on ResNet and Inception architectures using TensorFlow, Darknet and PyTorch *Evaluated results on Jetson Nano and Raspberry pi

Semantic segmentation on synthetic dataset obtained from UE4: • Created a dataset using UE4 and performed realistic rendering on the scene to get camera and object parameters • Dataset consist of RGB-D (RGB + depth) images & ground truth annotations • Generated dataset is trained and tested using TensorFlow framework • The deployed model performs image classification

CNN based 3D Multiview Object detection *Configured 3D Scene Synthesis and 2D Image Rendering with Ground Truth *Localised objects obtained from different camera deployed in a scene *Early fusion of Multiview and Multiple view point camera and Sensor data *Machine Learning System Evaluation for Performance Improvements

• Literature survey on SOTA Object Detection algorithms • Extracted huge data (video and images) stored in cloud, ImageNet, MS- COCO and Open Images Dataset consisting bicycles • Annotated videos and images for Supervised Machine Learning Technique • Bicycle detection using Supervised learning on Darknet and TensorFlow framework • Documented the results for future scientific works

Deep Learning and Machine Learning: • Cat or Dog classification, Hand Pose estimation, Handwritten number classification, colour and shape detection, Pedestrian Detection

High Usability Enterprise (HUE) • Provided technical support as a developer for a variety of web application projects under HUE and dealt with bugs and solved the same in the existing applications • Incorporated MVC architecture in spring framework technology with skillset on Java 8, JDBC Servlets, Cassandra/Mysql (Back-end) and Closure js, XML, CSS, SPA on AJAX (Front-end) technologies

• Computer Vision • Hardware and Software Co-design • Real-time Systems • Smart Sensor Systems • Automotive Sensor Systems • Video Signal Processing

• Object Oriented Programming and Data Structures • Engineering Mathematics • Computer Networks • Digital Image Processing